Upload README.md with huggingface_hub

README.md

@@ -1,38 +1,36 @@
-# KazEmoTTS: A Multi-Speaker Emotional Kazakh Text-to-Speech Dataset
+# KazEmoTTS: A Kazakh Emotional Text-to-Speech Dataset
 
-**Repository:** [Insert GitHub Repository Link Here -  replace with actual link once available]
+**Repository:** [Replace with actual repository link once available.  Currently unavailable due to 404 error from provided link.]
 
 
 **Summary:**
 
-The KazEmoTTS dataset is a new resource for emotional Kazakh text-to-speech (TTS).  It contains 54,760 audio-text pairs totaling 74.85 hours of speech, encompassing six emotions (neutral, angry, happy, sad, scared, and surprised). The data includes recordings from one female and two male narrators.  A TTS model trained on this dataset achieved Mean Character Distance (MCD) scores between 6.02 and 7.67 and Mean Opinion Scores (MOS) between 3.51 and 3.57, as measured through objective and subjective evaluations. The dataset and trained model are publicly available to promote further research and reproducibility.
+The KazEmoTTS dataset is a new resource for emotional text-to-speech (TTS) in the Kazakh language.  It comprises 54,760 audio-text pairs totaling 74.85 hours of speech data.  The data was recorded by three narrators (one female, two male), expressing six emotions: neutral, angry, happy, sad, scared, and surprised.  A TTS model trained on this dataset achieved a Mean Character-based Distance (MCD) score between 6.02 and 7.67 and a Mean Opinion Score (MOS) between 3.51 and 3.57, indicating acceptable synthesis quality based on objective and subjective evaluation.  The dataset, along with the trained model and code, is publicly available to encourage further research and development in Kazakh TTS.
 
 
-**Abstract:**
+**Dataset Statistics:**
 
-This study presents the KazEmoTTS dataset, a large-scale resource for building emotional Kazakh TTS systems.  The dataset comprises a substantial amount of speech data (54,760 audio-text pairs, 74.85 hours total duration) with diverse emotional expressions (neutral, angry, happy, sad, scared, surprised) spoken by three narrators (one female, two male).  Evaluation of a TTS model trained on KazEmoTTS reveals promising performance metrics (MCD: 6.02-7.67; MOS: 3.51-3.57), demonstrating the dataset's suitability for developing high-quality emotional TTS applications.  The dataset's open-access nature is intended to facilitate further research and development in the field.
+| Statistic             | Value       |
+|----------------------|-------------|
+| Number of Samples    | 54,760      |
+| Total Duration       | 74.85 hours |
+| Female Narrator      | 34.23 hours |
+| Male Narrators       | 40.62 hours |
+| Number of Emotions   | 6           |
+| Emotions             | Neutral, Angry, Happy, Sad, Scared, Surprised |
+| MCD Score            | 6.02 - 7.67 |
+| MOS Score            | 3.51 - 3.57 |
 
 
-**Dataset Statistics:**
+**Citation:**
 
-| Statistic             | Value          |
-|----------------------|-----------------|
-| Number of Audio Files | 54,760         |
-| Total Duration        | 74.85 hours     |
-| Female Narrator Duration | 34.23 hours     |
-| Male Narrator Duration  | 40.62 hours     |
-| Number of Emotions    | 6               |
-| Emotions              | Neutral, Angry, Happy, Sad, Scared, Surprised |
+*(Please add citation details here once available from the original research publication)*
 
 
-**Evaluation Metrics:**
+**Languages:** Kazakh
 
-| Metric | Range      |
-|--------|------------|
-| MCD    | 6.02 - 7.67 |
-| MOS    | 3.51 - 3.57 |
 
+**License:** *(Please specify the license used for the dataset and code)*
 
-**Citations:**
 
-*(No citations provided in the original text.  Please add citations here if available from the original source.)*
+**Note:**  The provided GitHub repository link returned a 404 error, preventing the inclusion of a direct link and further details from the README.  This information should be updated once the repository is properly accessible.